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0034 671 055 756
0031 687 613 348
GitHub: @piraburu

Programming Skills

R

Python

Matlab

LaTeX

Markdown

Stata

Disclaimer

Made with the R package pagedown.

Code available on GitHub

Last updated on 2021-01-10.

Main

Pedro Iraburu

I am a young Econometrician, born in 1995, fanatic of programming and data analysis. Since being introduced to Python when I wrote my degree thesis, I have also learnt R, Matlab and Stata. I am currently enrolled in my second master, in the VU. After finishing, I plan to specialize in Data Science, Finances, or in a similar field.

Education

Master’s Econometrics and Operations Research

Vrije Universiteit

Amsterdam, The Netherlands

2021 - 2020

  • The master focuses on developments in theory, methodology and application of econometric and statistical methods for the analysis of Big Data. I am currently enrolled in two specializations: Financial Econometrics, and Econometrics and Data Science.

Master in Economics: Empirical Application and Policies

EHU/UPV

Bilbo, Spain

2020 - 2019

Degree in Economics

University of Malaga

Malaga, Spain

2019 - 2015

  • Thesis: “Computable Dynamic General Equilibrium with free hardware and software”, with honors, done in Python with a Raspberry Pi.
  • One of the 10 best academic careers of the Economics degree 2015/2019.

Coursed two years of the Double degree in Mechanical and Electrical Engineering

University of Malaga

Malaga, Spain

2015 - 2013

  • I had always enjoyed Mathematics and Natural Sciences, so I assumed that engineering would be a fitting a choice. From these two years I got my interest on programming, as I was taught C++, and although it was highly educational, I realized it was not the right choice for me.

Bachelor of Science

Colegio Ecos

Marbella, Spain

2013 - 2011

  • Academic average of 9.32/10.00

Skills

Data Science

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  • I have strong quantitative and computational skills, handling a wide array of tools and programming lenguages to do so, from R to Python, Matlab and evolutionary computing techniques. I have learnt to analyze and understand data from different fields and databases, such as labor, energy and cultural markets, PISA, EUKlems and MCVL.

Financial Data Analysis

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  • A recent interest of mine, I have developed good skills handling financial data from the VU master’s courses, including binomial trees, volatility measures (GARCH, GAS models), and the Black-Scholes.

Econometrics/statistics

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  • I master many econometric and statistical methods, such as the GARCH and SESTAR models, regression of qualitative dependent variables, time series and panel data analysis. I have a good understanding on the theoretical and practical components of the most popular econometric methods, and how to apply them to large quantities of data to construct models.

Social Sciences Component

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  • Having coursed Behavioural Economics and having studied other topics related to the social aspects of the human psyque, allows me to interpret results where there is a large human component.

Micro and Macroeconomics knowledge

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  • Game theory, market analysis, DSGE models, monetary markets, growth theory… are some of the relevant fields I am profficient in, both from a theorical and practical approach.

Languages

Spanish

Native

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English

Advanced level, also in academic environment

Cambridge

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  • Cambridge English: Advanced (CAE)
  • One school year in King’s Bruton, Somerset.

German

Initiate level

Goethe Institut

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  • A2 Goethe-Zertifikat
  • Two weeks deutsch course in Garmisch-Partenkirchen.

Future projects and plans

Data Science, Finance

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  • I want to improve my current data analysis skills, extend them to the field of Finance, and apply them in a more practical/business related approach.

Work experience

Consultant Assistant

Malaga, Spain

PLAYS Consultores

2019

  • I spent three months working in PLAYS, a consultancy agency in Malaga city. I mainly did accounting and business analysis.